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Explaining AI explainability (Practical AI #91)

Podcast |: Changelog Master Feed
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Business,; Entrepreneurship,; Interview,; Master Feeds,; Software How-To,; Tech News,; Technology,; Web Development
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: Jun 08, 2020
Episode Duration |: 00:46:40

Description
Content Encoded

The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is fascinating and very timely.

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Featuring:

Sheldon Fernandez – Twitter, LinkedIn
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Darwin AI
FermiNets - a paper that introduces the idea of generative synthesis.
COVID-Net - Darwin AI’s COVID-related computer vision model.
NLP highlights podcast episode on Behavioral Testing - behavioral tests
Sheldon’s explainability primer on medium

Something missing or broken? ai-91.md">PRs welcome!

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